Urbanization, coal consumption and CO2 emissions nexus in China using bootstrap Fourier Granger causality test in quantiles

Kai Cheng (), Hsin-Pei Hsueh (), Omid Ranjbar (), Mei-Chih Wang () and Tsangyao Chang
Additional contact information
Kai Cheng: Huazhong University of Science and Technology
Hsin-Pei Hsueh: Hubei University of Economics
Mei-Chih Wang: Providence University

Letters in Spatial and Resource Sciences, 2021, vol. 14, issue 1, No 3, 49 pages

Abstract: Abstract This short note aims at revisiting the causal links among urbanization, coal consumption and CO2 emissions in China using a newly developed Bootstrap Fourier Granger Causality in Quantile test over the period of 1969–2019. The quantile causality approach evaluates causal relationships in a more detailed and flexible way than the conditional mean causality analysis. While the causality definition of Granger (Econometrica 37:424–438, 1969) cannot provide information about a tail causal relation or nonlinear causalities, the Causality in Quantiles test allows us to determine whether extremely low or high changes matter for the urbanization-coal consumption- CO2 emission nexus. Granger causality test based on our proposed model indicates one-way Granger causality running from urbanization to both CO2 emissions (within 0.2 quantile) and coal consumption (within 0.4, 0.6 and 0.8 quantiles) in China. These empirical results have important policy implications for the government conducting urbanization and energy policies in China.

Keywords: Urbanization; Coal consumption; CO2 emissions; Fourier expansion; Granger causality; Bootstrapping procedure; Quantile regression; China (search for similar items in EconPapers)
JEL-codes: C22 Q53 R11 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (11)

Downloads: (external link)
http://link.springer.com/10.1007/s12076-020-00263-0 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:lsprsc:v:14:y:2021:i:1:d:10.1007_s12076-020-00263-0

Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/12076

DOI: 10.1007/s12076-020-00263-0

Access Statistics for this article

Letters in Spatial and Resource Sciences is currently edited by Henk Folmer and Amitrajeet A. Batabyal

More articles in Letters in Spatial and Resource Sciences from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().